The Compare of Microbial Electronic Tongue Data Based on Direct and Two-Stage Processing

Hong Men; Jian Ping Sun; Jing Zhang; Yu Ming Guo; Zhi Ming Xu

doi:10.4028/www.scientific.net/AMM.20-23.331

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The Compare of Microbial Electronic Tongue Data Based on Direct and Two-Stage Processing
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23The Compare of Microbial Electronic Tongue Data...

The Compare of Microbial Electronic Tongue Data Based on Direct and Two-Stage Processing

Abstract:

In this paper, we used three working electrodes of platinum, gold, glassy carbon which constituted the microbial electronic tongue to identify microorganisms. The main purpose of this article is to classify sulfate-reducing bacteria and iron bacteria with the reference of broth culture. The accuracy of classification was compared based on directly processing (raw data processed by Back- Propagation Neural Network (BPNN), raw data processed by Partial LeastSquares (PLS) and raw data processed by Principal Components Analysis (PCA)) and two-stage processing (Principal Components Analysis (PCA) outputs processed by BPNN,PLS(score) outputs processed by BPNN and PLS(ypred) outputs processed by BPNN). The result showed that the performance of both PLS (ypred) and BPNN were optimum, which proved that the combine of linear and nonlinear model will get the best result for classification of bacterial.

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Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

331-336

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.331

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Online since:

January 2010

Authors:

Hong Men, Jian Ping Sun, Jing Zhang, Yu Ming Guo, Zhi Ming Xu

Keywords:

BP Neural Network (BPNN), Electronic Tongue, PLS, Principal Component Analysis (PCA)

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